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Research of illumination automatic correction of face color image

机译:人脸彩色图像的照明自动校正研究

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Different environment illumination has a great impact on face detection and recognition. The automatic detection and radiation correction of a highlighted face area is helpful to analyze and identify human faces correctly in a color image. In this paper, the part of high-light and shadow of face skin color image was researched for reducing the impact of high-light and shadow for image processing. The high-light region was detected based on human face color and pixel spatial distribution characteristics for the high-light area. According to offset rate of each component in the rgb color space high-light field was corrected. Used edge fitting method corrected image in high-light area where the image over the display range. For the shaded area Retinex methods used to enhance intensity. Experimental results show that the approach of this paper proposed can be better to remove the impact of high-light and shadow.
机译:不同的环境照明对面部检测和识别有很大的影响。高亮脸部区域的自动检测和辐射校正有助于在彩色图像中正确分析和识别人脸。本文研究了面部皮肤彩色图像的高光和阴影部分,以减少高光和阴影对图像处理的影响。根据人脸颜色和高光区域的像素空间分布特征,检测高光区域。根据rgb颜色空间中每个分量的偏移率,对高光场进行了校正。在图像超出显示范围的高光区域中,使用边缘拟合方法校正了图像。对于阴影区域,Retinex方法用于增强强度。实验结果表明,本文提出的方法可以较好地消除高光和阴影的影响。

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